Dataengineering

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nain

Jun 15

day 01 of learning data engineering (step1: sql joins and set operators)

#sql #dataengineering #learning #100daysofcode

3 min read

Stéphane Derosiaux

Jun 15

You can do WHAT with a Kafka proxy?

#kafka #architecture #dataengineering #devops

4 min read

Peter Fabricius

Jun 15

Iceduck: A Local Data Lakehouse Stack for Learning (No Cloud Needed)

#showdev #dataengineering #learning #opensource

1 min read

Haji Rufai

Jun 15

I Built a B-Tree in Pure Python and Finally Understood Why Postgres Uses It for Every Index

#python #dataengineering #postgres #computerscience

6 min read

Petascale Labs

Jun 14

The Data Engineer Roadmap for 2026 (in an AI-Native World)

#dataengineering #career #roadmap #ai

7 min read

JustSoftLab

Jun 14

Self-Healing Data Pipelines: Where the Marketing Ends and the Engineering Begins

#dataengineering #ai #mlops #datascience

5 min read

Patrick Lierse

Jun 14

Querying Germany's Company Register via API: Clean JSON and the new eGbR

#api #data #dataengineering #webscraping

1 min read

Kanishga Subramani

Jun 14

Day 17 of #100DaysOfClickHouse: Mastering Data Filtering for Faster ClickHouse Queries

#clickhouse #database #dataengineering #analytics

5 min read

Gathuru_M

Jun 14

Understanding Docker for Data Engineering

#docker #dataengineering #beginners

5 min read

Manveer Chawla

Jun 14

What is the best real-time analytics database in 2026? An engineering buyer's guide

#database #analytics #dataengineering #data

11 min read

Andrew

Jun 14

Vertica vs VoltDB (Volt Active Data): Key Differences, Use Cases & How to Choose in 2026

#architecture #database #dataengineering #distributedsystems

7 min read

Tanmay

Jun 13

Building My First End-to-End ETL Pipeline with Airflow, BigQuery, and Docker

#dataengineering #googlecloud #etl #sql

2 min read

E. Mitev

Jun 13

Why Most Sports Betting Projects Fail Before Launch (And It's Not the Algorithm)

#dataengineering #sideprojects #softwaredevelopment #api

2 min read

Kanishga Subramani

Jun 13

Day 16: ClickHouse Dictionaries – Eliminating Expensive JOINs with High-Speed In-Memory Lookups

#clickhouse #database #dataengineering #devops

4 min read

Aditya Somani

Jun 13

AI-Native Data Engineering: From ETL Pipelines to Agentic Data Serving

#dataengineering #duckdb #ai #sql

12 min read

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DEV Community

# dataengineering

day 01 of learning data engineering (step1: sql joins and set operators)

You can do WHAT with a Kafka proxy?

Iceduck: A Local Data Lakehouse Stack for Learning (No Cloud Needed)

I Built a B-Tree in Pure Python and Finally Understood Why Postgres Uses It for Every Index

The Data Engineer Roadmap for 2026 (in an AI-Native World)

Self-Healing Data Pipelines: Where the Marketing Ends and the Engineering Begins

Querying Germany's Company Register via API: Clean JSON and the new eGbR

Day 17 of #100DaysOfClickHouse: Mastering Data Filtering for Faster ClickHouse Queries

Understanding Docker for Data Engineering

What is the best real-time analytics database in 2026? An engineering buyer's guide

Vertica vs VoltDB (Volt Active Data): Key Differences, Use Cases & How to Choose in 2026

Building My First End-to-End ETL Pipeline with Airflow, BigQuery, and Docker

Why Most Sports Betting Projects Fail Before Launch (And It's Not the Algorithm)

Day 16: ClickHouse Dictionaries – Eliminating Expensive JOINs with High-Speed In-Memory Lookups

AI-Native Data Engineering: From ETL Pipelines to Agentic Data Serving